Remote AI Documentation Evaluation Specialist

AuraOne; United States; On-site; USD 28,000 - 48,000; Full time

Job summary

AuraOne invites a Technical Writing Specialist - AI Documentation Evaluation to work remotely as an independent contractor. You will review prompts and model outputs, apply a versioned rubric, and assign severity tags based on quality criteria.

You will compare outputs, provide rationales, label edge cases, and help identify recurring issues to improve AI documentation quality. This role emphasizes careful reasoning and consistency across long evaluation batches.

Qualifications

• Prior evaluation, annotation, or human-rater experience on technical writing evaluation.
• Comfort applying multi-page rubrics consistently across long batches.
• Clear written reasoning that names the issue and the rubric clause being applied.
• Strong attention to detail and the ability to flag when a prompt itself is the problem.
• Reliable async availability for at least 10 hours per week.

Responsibilities

• Evaluate technical writing evaluation model outputs against a versioned rubric and assign severity tags.
• Compare paired responses and pick the stronger answer with a written rationale.
• Label hallucinations, instruction-following failures, and unsafe content with structured tags.
• Capture ambiguous prompts and route them back to the program team for rubric updates.
• Maintain reviewer-quality scores by calibrating against gold-standard examples each week.
• Document recurring failure modes so the modeling team can target them in the next training run.

Skills

Model output evaluation

Rubric-based annotation

Severity tagging

Inter-rater calibration

Technical Writing evaluation

Job description

AuraOne invites a Technical Writing Specialist - AI Documentation Evaluation to work remotely as an independent contractor. You will review prompts and model outputs, apply a versioned rubric, and assign severity tags based on quality criteria.

You will compare outputs, provide rationales, label edge cases, and help identify recurring issues to improve AI documentation quality. This role emphasizes careful reasoning and consistency across long evaluation batches.